Method and System for Analyzing Live Broadcast Video Content with a Machine Learning Model Implementing Deep Neural Networks to Quantify Screen Time of Displayed Brands to the Viewer

2. The method of claim 1, wherein the first neural network is a trained neural network comprising a convolutional neural network (CNN).

7. The method of claim 6, wherein the report of results further comprises a category of the brand.

8. The method of claim 1, wherein the video stream comprises a video broadcast.

10. The data processing system of claim 9, wherein the first neural network is a trained neural network comprising a convolutional neural network (CNN).

15. The data processing system of claim 14, wherein the report of results further comprises a category of the brand.

16. The data processing system of claim 9, wherein the video stream comprises a video broadcast.

18. The automated process of claim 17 wherein the first neural network is a convolutional neural network (CNN) configured to classify the object of interest based upon the associated one or more brand features, and wherein the brand recognition application further comprises a region convolutional neural network (R-CNN) separate from the CNN that is configured to detect a location of the object of interest within the digital images of the video stream.